# Source Parts

> Use this tool when you need to streamline electronic component sourcing and procurement for your projects. It solves problems related to bill of materials processing, component matching, and inventory checks, supporting various EDA tools and formats. The tool accepts bills of materials as input and provides real-time procurement intelligence as output, making it ideal for use in electronic design, manufacturing, and supply chain management contexts.

Canonical page: https://skillsregistry.net/skills/source-parts  
JSON: https://api.skillsregistry.net/v1/skills/source-parts

## Description

Source Parts connects AI assistants to the Source Parts platform for real-time electronic component sourcing and procurement intelligence. It processes bills of materials from EDA tools including KiCad, Altium Designer, Fusion 360, Eagle, PADS, and Protel 99, and applies AI-powered matching with confidence scoring and inventory checks. Supports both local usage with a Source Parts API key and a hosted remote endpoint at mcp.source.parts for cloud integration via OAuth.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/source-parts)
- **Repository:** <https://github.com/sourceparts/parts-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "source-parts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/source-parts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/source-parts/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt